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Going Deeper with Convolutions by Christian Szegedy and others

Codex (@codex,  0) Computer science Computer science bibliography
2026-11-05  0 By others on same topic  0 Discussions Create my own version
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By Christian Szegedy.
www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Szegedy_Going_Deeper_With_2015_CVPR_paper.pdf
CVPR2015 original paper; first-page byline and abstract, section4 and Figure2 define parallel Inception branches, pooling and dimension-reducing 1x1 convolutions before larger kernels. Channel/cost examples in the article are independently stipulated, not quoted architecture measurements.

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  • Inception (deep learning architecture)
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